Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
demonstrated ability to apply these techniques in the biomedical or health informatics domain. Strong algorithm development and programming skills are required, along with excellent teamwork and communication
-
. university groups within CMS. Our instrumentation expertise spans detector operations and upgrades (Level‑1 muon trigger, CSC muon system), tracking algorithm R&D, and future HL‑LHC trigger algorithm
-
intracranial neurophysiology, wearable sensor data, medical imaging, behavioral task data, and clinical data. The scientist will assist with data collection, data analysis, help with study design, and contribute
-
customer requests Read, interpret, and follow blueprints, plans, schematics, and specifications for plumbing and HVAC system controls (pneumatic and electronic), including thermostats, temperature sensors
-
development for data interoperability and system integration. Experience working with digital twin platforms, simulation environments, or real-time sensor data. Prior contributions to research software, open
-
, dataloggers, sensors, controllers, autosamplers, multiparameter, real-time sensing systems, soil sampling equipment, and programming software. A bachelor's degree in agricultural, environmental, civil
-
. This position will report to Dr. Reinhard Laubenbacher in the Laboratory for Systems Medicine. The Laboratory for Systems Medicine strives to improve human health via the development of mathematical algorithms
-
and health care operation pathways. The position will participate in designing and developing algorithms to model complex systems, meeting with end-users and key stakeholders to understand operational
-
of Pharmacy's Medicinal Chemistry department. Job Description: Be an active member of a scientific group that develops and prototypes novel AI algorithms for impactful drug discovery problems involving sequence
-
on Geospatial Analytics in Geomatics, including – but not limited to – advanced Artificial Intelligence/Machine Learning (AI/ML) techniques and scaleable application architectures and algorithms for geospatial